AI Engineer – GenAI & MLOps for Production Systems

dataroots, a Talan company; Vlaams-Brabant; Hybride; EUR 80 000 - 110 000; Plein temps

Avantages offerts par ce poste

Mobility budget or company car

Hospitalisation and group insurance

High-end laptop

Smartphone with subscription

Generous holidays

Training budget

Team-building events

Diverse work environment

Résumé du poste

Dataroots, part of the Talan Group, is seeking an experienced AI engineer to design, build and deploy ML and GenAI solutions. You will productionize AI workloads, implement CI/CD pipelines and ensure observability and governance across deployments.

You will work with Python/SQL, cloud platforms, and containerized environments, collaborating with clients across industries to deliver measurable business value.

Qualifications

• 3+ years of experience building, deploying and operating AI systems in production.
• Strong software engineering skills with Python and SQL and solid engineering practices.
• Experience with GenAI applications and LLMOps practices including observability and governance.
• Experience designing CI/CD pipelines for AI apps and deploying on major cloud platforms.
• Excellent communication and ability to explain complex tech to clients.

Responsabilités

• Design, build and deploy AI solutions that deliver business value.
• Productionize AI workloads and automate testing and releases.
• Design robust deployment pipelines with monitoring and observability.
• Help create scalable, reliable AI systems across lifecycle management.
• Work with CI/CD, containerization and major cloud platforms in production.

Connaissances

Python

SQL

GenAI

LLMOps

CI/CD

Cloud platforms

AI deployment

Communication

Outils

Docker

Kubernetes

MLFlow

Terraform

Description du poste

Dataroots, part of the Talan Group, is seeking an experienced AI engineer to design, build and deploy ML and GenAI solutions. You will productionize AI workloads, implement CI/CD pipelines and ensure observability and governance across deployments.

You will work with Python/SQL, cloud platforms, and containerized environments, collaborating with clients across industries to deliver measurable business value.